Introduction to Machine Learning
Machine learning/AI Overview
This training course is for people that would like to apply basic Machine Learning techniques inpractical applications.
Machine learning/AI Target Audience:Data scientists and statisticians that have some familiarity with machine learning and know how toprogram R. The emphasis of this course is on the practical aspects of data/model preparation,execution, post hoc analysis and visualization. The purpose is to give a practical introduction tomachine learning to participants interested in applying the methods at workSector specific examples are used to make the training relevant to the audience.
Machine learning/AI Course duration
2 Days
Machine learning/AI Course outline
- Naive Bayes
- Multinomial models
- Bayesian categorical data analysis
- Discriminant analysis
- Linear regression
- Logistic regression
- GLM
- EM Algorithm
- Mixed Models
- Additive Models
- Classification
- KNN
- Ridge regression
- Clustering
